andrewcking

andrewcking's Stars

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.7k5199619.5k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.4k3723155.7k

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python32.4k1704.8k2.4k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.2k3718.3k9.4k

• invoke-ai/InvokeAI

  InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

  Language:TypeScript23k2013k2.4k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.7k1273122k

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.4k53148532

• hugomd/parrot.live

  🐦 Bringing animated parrots to terminals everywhere

  Language:JavaScript3.6k2722170

• turboderp/exllamav2

  A fast inference library for running LLMs locally on modern consumer-class GPUs

  Language:Python3.5k33439271

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2.2k21145267

• vitoplantamura/OnnxStream

  Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK.

  Language:C++1.8k287079

• trholding/llama2.c

  Llama 2 Everywhere (L2E)

  Language:C1.5k16740

• popcar2/GodotOS

  A Fake Operating System Interface made in Godot!

  Language:GDScript1.1k171455

• Puzer/stylegan-encoder

  StyleGAN Encoder - converts real images to latent space

  Language:Jupyter Notebook1.1k2651166

• polywrap/evo.ninja

  A versatile generalist agent.

  Language:TypeScript1k20261173

• pbaylies/stylegan-encoder

  StyleGAN Encoder - converts real images to latent space

  Language:Jupyter Notebook7402565182

• symisc/ascii_art

  Real-Time ASCII Art Rendering Library

  Language:C71427479

• richzhang/colorization-pytorch

  PyTorch reimplementation of Interactive Deep Colorization

  Language:Python5971824112

• mv-lab/swin2sr

  [ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

  Language:Python57612069

• aourednik/historical-basemaps

  Collection of georeferenced boundaries of world countries and cultural regions for use in mapping historical data on global or continental scale

  Language:JavaScript450243079

• yuanchenyang/smalldiffusion

  Simple and readable code for training and sampling from diffusion models

  Language:Python1944117

• joeyaurel/python-gedcom

  Python module for parsing, analyzing, and manipulating GEDCOM files

  Language:Python155183639

• nrgapple/historic-country-borders-app

  Visualize country borders from different times in history (2000 BC-1994)

  Language:TypeScript1483145

• devxpy/anti-chatgpt

  Antivirus for your mind

  Language:JavaScript129101

• gfxdisp/mdf

  Multi-scale discriminator feature-wise loss function

  Language:Jupyter Notebook1047108

• nagejacob/SpatiallyAdaptiveSSID

  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)

  Language:Python862147

• tshino/compare

  image comparison tool

  Language:JavaScript4761165

• YingqianWang/Flickr1024

  [ICCVW 2019] A Large-Scale Dataset for Stereo Image Super-Resolution

  467111

• chrisjenx/Fotoapparat

  Making Camera for Android more friendly. 📸

  Language:Kotlin6101

• jojonki/Vis-Receptive-Fields

  Visualizing CNN Receptive Fields

  Language:Python321